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Engineering Jobs in Sarnia, ON

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Engineering • sarnia on

Last updated: 3 days ago

Remote Mechanical Engineer - AI Trainer

SuperAnnotateSarnia, Ontario, CA
Remote
Full-time

In this hourly, remote contractor role, you will review AI-generated engineering solutions and/or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step probl...Show more

Jr./Int./Sr. Designers & Technologists

Rally EngineeringSarnia, ON
Full-time

Primarily engaged in equipment engineering design / drafting (discipline specific) – work is supervised in detail.Decisions are made within established guidelines.Exposed to technical standards, re...Show more

Site Manager

ClearWaterSarnia, Ontario, Canada
Full-time

This posting is intended to collect Expressions of Interest for potential future opportunities.As a Site Manager, you will utilize your 3+ years of experience managing industrial construction and m...Show more

Mid-Senior Petrochemical Professionals

Hire Resolve.comSarnia, ON, CA
Full-time
Quick Apply

Hire Resolve is assisting petrochemical organizations in hiring experienced petrochemical professionals.This is a multi-role opportunity spanning several functions within the sector, including plan...Show more

Project Engineer - Oil & Energy Capital Projects

Adecco CanadaSarnia, Ontario, Canada
Full-time +1
Quick Apply

Adecco is currently hiring a full-time.This role contributes to project delivery through engineering design evaluations, coordination of project management processes, and technical support across m...Show more

Field Engineer

MammoetSarnia, Ontario, CA
Full-time

Mammoet is seeking a skilled and motivated Field Engineer to join our team.The Field Engineer will be responsible for overseeing and coordinating complex heavy lifting and transport projects, ensur...Show more

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Remote Mechanical Engineer - AI Trainer

Remote Mechanical Engineer - AI Trainer

SuperAnnotateSarnia, Ontario, CA
30+ days ago
Job type
  • Full-time
  • Remote
Job description

In this hourly, remote contractor role, you will review AI-generated engineering solutions and / or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step problem-solving while providing crisp written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your mechanical engineering expertise directly helps improve the world’s premier AI models by making their technical reasoning more accurate, reliable, and clearly explained.

Key Responsibilities :

  • Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
  • Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
  • Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile :

  • Bachelor’s degree (or higher) in Mechanical Engineering, Aerospace Engineering, or Engineering Physics (Thermo / Heat Transfer / Fluids / Statics-Dynamics / Differential Equations).
  • Strong, confident fundamentals in mechanics, thermodynamics, fluid mechanics, applied physics, engineering math, and system modeling.
  • Comfortable evaluating technical solutions for correctness, methodology, units / dimensional consistency, assumptions, and physical plausibility with high attention to detail.
  • Able to clearly explain reasoning and corrections in writing; Minimum C1 English proficiency.
  • Experience applying basic design principles (requirements, constraints, margins, trade-offs) in real engineering contexts.
  • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
  • Previous experience with AI data training / annotation or technical reviewing is strongly preferred.